title: Application of audio computer-assisted self-interviews to collect self-reported health data: an overview.
abstract: For assessment of sensitive health behaviors (e.g., sexual behavior, violent behaviors, substance use), research is typically limited to an examination of self-reports of past behavior. Audio computer-assisted self-interviews (ACASI) may enhance the validity of self-report data in research and clinical settings by reducing measurement bias. This paper provides an introduction to ACASI for collection of self-reported health data. The potential benefits and cost-effectiveness of ACASI use in research and clinical settings are reviewed. We then review the theoretical underpinnings that may underlie differential reporting of health behaviors between assessment modalities. Next, we highlight studies that have investigated differences in self-reported health behaviors between assessment modalities. Lastly, we summarize potential applications of ACASI assessments within clinical settings.
authors.affiliation: Department of Psychology, Texas Tech University, Lubbock, Tex. USA.
authors.forename: J L
authors.initials: JL
authors.lastname: Brown
authors.forename: A
authors.initials: A
authors.lastname: Swartzendruber
authors.forename: R J
authors.initials: RJ
authors.lastname: DiClemente
mesh_terms: D003201:Computers / Q000191:economics; D003362:Cost-Benefit Analysis; D015438:Health Behavior; D006801:Humans; D007407:Interviews as Topic; D015203:Reproducibility of Results; D012309:Risk-Taking; D057566:Self Report / Q000191:economics; D014342:Truth Disclosure